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baherus [9]
3 years ago
11

A cargo train and a passenger train, which start from two stations that are 710 km apart, are traveling towards each other. The

cargo train started an hour before the passenger train, and is traveling with a speed of 110 km/hour. In how many hours will the cargo train and the passenger train meet, if the passenger train is traveling at 90 km/hour?
Mathematics
1 answer:
ExtremeBDS [4]3 years ago
7 0

Answer:

The trains will meet in 3 hours.

Step-by-step explanation:

The initial distance between the trains was 710 km, but since the cargo train started an hour before the passenger train, it has already covered some distance towards it. The distance the cargo train has covered is simply the product of its speed v_{ct} and the time taken t:

D =v_{ct}t=(110km/hr)* 1hr =110km.

So the distance left between the trains is the starting distance minus this distance:

D_{left}=710km-110km=600km.

Now both trains are travelling towards each other, this means the rate at which the distance that is being covered is equal to the sum of the speeds of the trains:

v_{tot}=v_{ct}+v_{pt}=(110km/hr)+(90km/hr)=200km/hr

Now that we have the speed, it is easy to calculate the amount of time it will take for the trains to meet:

t=\frac{D_{left}}{v_{tot}} =\frac{600km}{200km/hr} =\boxed{3\:hours.}

Thus the cargo train and the passenger train will meet in 3 hours.

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In a simple random sample of 300 boards from this shipment, 12 fall outside these specifications. Calculate the lower confidence
Lyrx [107]

Answer:

The 95% confidence interval for the percentage of all boards in this shipment that fall outside the specification is (1.8%, 6.2%).

Step-by-step explanation:

In a random sample of 300 boards the number of boards that fall outside the specification is 12.

Compute the sample proportion of boards that fall outside the specification in this sample as follows:

\hat p =\frac{12}{300}=0.04

The (1 - <em>α</em>)% confidence interval for population proportion <em>p</em> is:

CI=\hat p\pm z_{\alpha/2}\sqrt{\frac{\hat p(1-\hat p)}{n}}

The critical value of <em>z</em> for 95% confidence level is,

z_{\alpha/2}=z_{0.05/2}=z_{0.025}=1.96

*Use a <em>z</em>-table.

Compute the 95% confidence interval for the proportion of all boards in this shipment that fall outside the specification as follows:

CI=\hat p\pm z_{\alpha/2}\sqrt{\frac{\hat p(1-\hat p)}{n}}\\=0.04\pm1.96\sqrt{\frac{0.04(1-0.04)}{300}}\\=0.04\pm0.022\\=(0.018, 0.062)\\\approx(1.8\%, 6.2\%)

Thus, the 95% confidence interval for the proportion of all boards in this shipment that fall outside the specification is (1.8%, 6.2%).

6 0
3 years ago
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